This course is concerned with the statistical theory and methodology of casual inference with applications in precision medicine. Tentative topics include: potential outcomes, average treatment effects, randomized experiments, covariate adjustment, regression discontinuity designs, observational studies, confounders, sensitivity analysis, propensity scores, matching, doubly robust estimators, difference-in-difference, instrumental variables, heterogeneous treatment effects and optimal treatment regimes. Students without course prerequisite need to seek approval from the course instructor to take this course.